
Learn top tips for Houdini 18's Pyro SOP solver, covering setup, simulation, shaping, and rendering techniques for creating realistic fire effects in 3D VFX.

Explore programming frameworks for GPUs, xPUs, and computational storage devices, covering CUDA, SYCL, DOCA, and emerging standards for accelerated processing and host offload capabilities.

Discover the latest developments and implementations in Rusticl, exploring project updates and future outlook for this OpenCL implementation in Rust.

Explore Scala's expansion beyond JVM with a new ahead-of-time compiler and lightweight managed runtime, opening doors to native development and enhanced performance.

Explore GPU utilization in Java, covering OpenGL, CUDA, and OpenCL for massive computations. Learn advantages and drawbacks of GPU computing in desktop and cloud environments.

Explore the evolving landscape of heterogeneous parallelism in C++, including standards, specifications, and future applications in IoT, self-driving cars, and machine learning.

Explore alternatives to CUDA for GPU computing, focusing on open-source options like OpenCL, SPIR-V, and SYCL. Discuss challenges and potential solutions for a vendor-neutral Linux compute stack.

Explore efforts to enable TensorFlow on open-source GPUs using SYCL, LLVM, and OpenCL. Learn about challenges and progress in deploying AI/ML frameworks without proprietary NVIDIA CUDA stack.

Explore Vienna-Libraries for computational science: ViennaCL, ViennaGrid, ViennaData, ViennaMath, and ViennaFEM. Learn how C++ can better meet scientific computing needs.

Explore RaftLib, a C++ library simplifying parallel programming for heterogeneous multicore processors. Learn to write efficient code for complex hardware without extensive low-level knowledge.

Explore GPU acceleration for global atmospheric models using PyMIP, a Python module integrating C, Fortran, CUDA, and OpenCL. Learn about performance improvements and multi-platform compatibility for weather forecasting and climate prediction.

Exploring open-source alternatives to CUDA for GPU compute acceleration, discussing potential for a vendor-neutral reference stack using SYCL/OpenCL/Vulkan and Mesa.

Explore cuCatch, an innovative debugging tool for CUDA applications that efficiently detects memory safety violations with low performance overhead and high error detection coverage.

Explore the FTI API's simplified approach to compute storage devices, focusing on SNIA API integration and practical applications in video encoding scenarios.

Explore Descend, a safe GPU programming language enforcing memory management through type systems. Learn about its holistic model, extended Borrow checking, and competitive performance against CUDA.

Explore the evolving embedded GPU landscape, including new standards, hardware changes, and software ecosystem demands, with insights on Linux support and driver comparisons.

Explore Java-to-SPIR-V translation using Babylon's code reflection API for GPU execution. Learn about parallel compute workloads and graphics libraries implementation.

Explore exascale computing, HPC architectures, and GPU programming with Dr. Meifeng Lin from Brookhaven National Laboratory.

Discover how Flora, a new Houdini-based toolset, revolutionizes 3D plant creation by combining generative systems with intuitive controls, GPU acceleration, and seamless Unreal Engine integration.